TY - GEN
T1 - Generalized complexity pursuit
AU - Shi, Zhenwei
AU - Jiang, Zhiguo
AU - Yin, Jihao
PY - 2008
Y1 - 2008
N2 - In this paper, we study the blind source separation (BSS) problem of temporally correlated signals via exploring the nonlinear temporal structure and high-order statistics of source signals. A BSS method based on the nonlinear predictability of original sources is proposed, which extends linear coding complexity used by the original complexity pursuit to nonlinear coding complexity. Simulations by non-stationarity sources verify the efficient implementation of the proposed method, especially its robustness to the outliers.
AB - In this paper, we study the blind source separation (BSS) problem of temporally correlated signals via exploring the nonlinear temporal structure and high-order statistics of source signals. A BSS method based on the nonlinear predictability of original sources is proposed, which extends linear coding complexity used by the original complexity pursuit to nonlinear coding complexity. Simulations by non-stationarity sources verify the efficient implementation of the proposed method, especially its robustness to the outliers.
UR - https://www.scopus.com/pages/publications/57649135375
U2 - 10.1109/ICNC.2008.650
DO - 10.1109/ICNC.2008.650
M3 - 会议稿件
AN - SCOPUS:57649135375
SN - 9780769533049
T3 - Proceedings - 4th International Conference on Natural Computation, ICNC 2008
SP - 199
EP - 203
BT - Proceedings - 4th International Conference on Natural Computation, ICNC 2008
T2 - 4th International Conference on Natural Computation, ICNC 2008
Y2 - 18 October 2008 through 20 October 2008
ER -